THIS IS A TEST INSTANCE. ALL YOUR CHANGES WILL BE LOST!!!!
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Solr 9.3.0 Release Highlights
- The Lucene version used by Solr has been upgraded to 9.7.
- Solr releases now have a slim variant, both for the binary release and the docker image.
- The Slim variant is the same as the normal variant, except that it does not include Solr modules or the Prometheus exporter.
- Vector Search
Added support for byte vector encoding in DenseVectorField and KnnQParser
- High dimensional vectors are now supported in Solr
- Solr can now take advantage of SIMD optimizations for Vector calculations, when run with Java 20 or 21.
- A new "vectorSimilarity" function query has been added to calculate similarity scores for DenseVectorFields
Solr now provides an "Install Shard" API to allow users who have built (per-shard) indices offline to import them into SolrCloud shards.
Solr’s experimental "v2" API has seen a number of improvements in the 9.3 release.
- It is now approaching parity with the functionality offered by Solr’s v1 API.
- The v2 API as a whole is being redesigned to be more REST-ful and intuitive.
See the Changelog and upgrade notes for information on which v2 APIs have backward-incompatible changes.
- New APIs for MigrateReplicas and BalanceReplicas. These work out-of-the-box with the built-in PlacementPlugins.
- The AffinityPlacementPlugin now supports co-location of shards between collections, using the "withCollectionShards" parameter.
- Join Queries may handle equally sharded collections on both sides.
- Collections shards should be collocated via AffinityPlacementPlugin.withCollectionShards
- This operation doesn't support SplitShards
- Unknown cores are no longer deleted by default when Solr starts. Use "solr.deleteUnknownCores=true" to use the previous behavior.
- Warning: Solr cannot be used with Java 20 on MacOS with the Java Security Manager.
Please use the environment variable SOLR_SECURITY_MANAGER_ENABLED=false when running with Java 20 on MacOS.
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